%0 Journal Article
%T Detecting App-DDoS attacks based on flow analysis<br>基于流量分析的App-DDoS攻击检测
%A LI Jin-ling
%A WANG Bin-qiang
%A ZHANG Zhen
%A <br>李锦玲
%A 汪斌强
%A 张　震
%J 计算机应用研究
%D 2013
%I 
%X Aiming at the shortcomings of current methods which highly depend on system logs and fail to detect attacks against FTP or DNS servers, this paper proposed a novel model named DFM-FA that based on Kalman filtering and information entropy. The DFM-FA model mapped behaviour anomaly detection to network anomaly detection, maximizing the priority of legitimate users' access. This model can also detect attacks against FTP or DNS or other servers with no need for system logs.
%K 应用层分布式拒绝服务攻击
%K DFM-FA
%K 卡尔曼滤波
%K 信息熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD1002435FD3468834469CEC&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=036D726259190A01&eid=D397660E39E3E461&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12